Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Dumourier
2
60 kgFraile
3
72 kgChernetski
4
63 kgGuillemois
5
66 kgLecuisinier
6
65 kgWarbasse
7
67 kgDomont
10
65 kg
2
60 kgFraile
3
72 kgChernetski
4
63 kgGuillemois
5
66 kgLecuisinier
6
65 kgWarbasse
7
67 kgDomont
10
65 kg
Weight (KG) →
Result →
72
60
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DUMOURIER Florian | 60 |
| 3 | FRAILE Omar | 72 |
| 4 | CHERNETSKI Sergei | 63 |
| 5 | GUILLEMOIS Romain | 66 |
| 6 | LECUISINIER Pierre-Henri | 65 |
| 7 | WARBASSE Larry | 67 |
| 10 | DOMONT Axel | 65 |